Application Software Engineer

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.   🛠️ About our Application Software Teams We’re seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.   🧠 Your day-to-day Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments. Integrate and validate drivers, middleware, and boot-time configurations. Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure. Work with OEM and Tier 1 teams to resolve hardware-specific integration issues. Implement system-level diagnostics, logging, and secure boot configuration. Develop automation for setup, flashing, health checks, and test execution on target hardware.   🧩 What you’ll be working on In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.   🙌 You should apply if In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience. Essential 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience. Strong proficiency in C/C++, Bash, and Python. Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees). Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware. Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI). Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs). Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C. Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. Desirable Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs). Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs. Understanding of secure boot, OTA updates, and system-level cybersecurity topics. Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.   🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods